Paper-Conference

FOCUS on Contamination: Hydrology-Informed Noise-Aware Learning for Geospatial PFAS Mapping featured image

FOCUS on Contamination: Hydrology-Informed Noise-Aware Learning for Geospatial PFAS Mapping

Per- and polyfluoroalkyl substances (PFAS) are persistent environmental contaminants with significant public-health impacts, yet large-scale monitoring remains severely limited due …

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Jowaria Khan
AI-Driven Predictive Modeling of PFAS Contamination in Aquatic Ecosystems: Exploring A Geospatial Approach featured image

AI-Driven Predictive Modeling of PFAS Contamination in Aquatic Ecosystems: Exploring A Geospatial Approach

Per- and polyfluoroalkyl substances (PFAS), a class of synthetic fluorinated compounds termed “forever chemicals”, have garnered significant attention due to their persistence, …

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Jowaria Khan
Crop and Weed Detection in Sunflower and Sugarbeet fields Using Single Shot Detectors featured image

Crop and Weed Detection in Sunflower and Sugarbeet fields Using Single Shot Detectors

Weed detection plays a critical role in improving agricultural production. Distinguishing crops from weeds is vital for achieving precise spraying for weeds without polluting the …

Diaa Addeen Abuhani
A Light-weight Cropland Mapping Model Using Satellite Imagery featured image

A Light-weight Cropland Mapping Model Using Satellite Imagery

Many applications in agriculture as well as other related fields including natural resources, environment, health, and sustainability, depend on recent and reliable cropland maps. …

Maya Haj Hussain
Detecting Vitamin A Deficiency in Schoolchildren Using an Enhanced Explainable Machine Learning Model featured image

Detecting Vitamin A Deficiency in Schoolchildren Using an Enhanced Explainable Machine Learning Model

The most prevalent avoidable cause of vision impairments in children worldwide is vitamin A deficiency. In most cases, deficiencies can be detected through blood tests. However, …

Diaa Addeen Abuhani
Machine Learning for Precision Agriculture Using Imagery from Unmanned Aerial Vehicles (UAVs): A Survey featured image

Machine Learning for Precision Agriculture Using Imagery from Unmanned Aerial Vehicles (UAVs): A Survey

Unmanned aerial vehicles (UAVs) are increasingly being integrated into the domain of precision agriculture, revolutionizing the agricultural landscape. Specifically, UAVs are being …

Imran Zualkernan
Detecting Replay Attack on Voice-Controlled Systems using Small Neural Networks featured image

Detecting Replay Attack on Voice-Controlled Systems using Small Neural Networks

Voice-control is becoming a common interface for many consumer IoT systems. Common threats to such systems include impersonation, replay, speech synthesis, and voice conversion …

Nadeen Ahmed